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61–80 von 108 Ergebnissen
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    Forecasting transportation demand for the U.S. market

    Plakandaras, Vasilios / Papadimitriou, Theophilos / Gogas, Periklis | Elsevier | 2019
    Schlagwörter: Machine learning

    Understanding transit ridership in an equity context through a comparison of statistical and machine learning algorithms

    Yousefzadeh Barri, Elnaz / Farber, Steven / Jahanshahi, Hadi et al. | Elsevier | 2022
    Schlagwörter: Machine learning

    Applying a Bayesian network for modelling the shift from motorcycle to public transport use in Vietnam

    Nguyen, Son-Tung / Moeinaddini, Mehdi / Saadi, Ismaïl et al. | Elsevier | 2024
    Schlagwörter: Network-learning

    Travel behavior and system dynamics in a simple gamified automated multimodal network

    Collins, Mor / Etzioni, Shelly / Ben-Elia, Eran | Elsevier | 2024
    Schlagwörter: Reinforced Learning

    Modeling hesitancy in airport choice: A comparison of discrete choice and machine learning methods

    Lu, Jing / Meng, Yucan / Timmermans, Harry et al. | Elsevier | 2021
    Schlagwörter: Deep reinforcement learning

    A kilometer or a mile? Does buffer size matter when it comes to car ownership?

    Laviolette, Jérôme / Morency, Catherine / Waygood, E.O.D. | Elsevier | 2022
    Schlagwörter: Machine learning

    Effect of dockless bike-sharing scheme on the demand for London Cycle Hire at the disaggregate level using a deep learning approach

    Ding, Hongliang / Lu, Yuhuan / Sze, N.N. et al. | Elsevier | 2022
    Schlagwörter: Deep learning

    Exploring key spatio-temporal features of crash risk hot spots on urban road network: A machine learning approach

    Wu, Peijie / Chen, Tianyi / Diew Wong, Yiik et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Regimes in social–cultural events-driven activity sequences: Modelling approach and empirical application

    Arentze, Theo / Timmermans, Harry | Elsevier | 2008
    Schlagwörter: Network-learning

    Fare adjustment’s impacts on travel patterns and farebox revenue: An empirical study based on longitudinal smartcard data

    Chen, Ruoyu / Zhou, Jiangping | Elsevier | 2022
    Schlagwörter: Unsupervised learning

    Spatial-temporal heterogeneity and built environment nonlinearity in inconsiderate parking of dockless bike-sharing

    Wang, Yacan / Li, Jingjing / Su, Duan et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Predicting the future development scale of high-speed rail through the urban scaling law

    Li, Zekun / Chen, Zhenhua | Elsevier | 2023
    Schlagwörter: Machine learning

    The effects of social networks on choice set dynamics: Results of numerical simulations using an agent-based approach

    Han, Qi / Arentze, Theo / Timmermans, Harry et al. | Elsevier | 2010
    Schlagwörter: Social learning

    Models and algorithms for multi-crane oriented scheduling method in container terminals

    Zeng, Qingcheng / Yang, Zhongzhen / Lai, Luyuan | Elsevier | 2009
    Schlagwörter: Q-learning algorithm

    Detecting anomalous commuting patterns: Mismatch between urban land attractiveness and commuting activities

    Tong, Zhaomin / Zhang, Ziyi / An, Rui et al. | Elsevier | 2024
    Schlagwörter: Machine learning model

    Road to price: User perspectives on road pricing in transition country

    Glavic, Drazenko / Mladenovic, Milos / Luttinen, Tapio et al. | Elsevier | 2017
    Schlagwörter: Policy learning

    Machine learning approach for spatial modeling of ridesourcing demand

    Zhang, Xiaojian / Zhao, Xilei | Elsevier | 2022
    Schlagwörter: Machine learning

    Understanding market competition between transportation network companies using big data

    Huang, Guan / Liang, Yuebing / Zhao, Zhan | Elsevier | 2023
    Schlagwörter: Interpretable machine learning

    Congestion in cities: Can road capacity expansions provide a solution?

    Anupriya / Bansal, Prateek / Graham, Daniel J. | Elsevier | 2023
    Schlagwörter: Bayesian machine learning